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Page 1
Methods for Assessing Oocyte Quality: A Review of Literature.
Lemseffer Y, Terret ME, Campillo C, Labrune E. Lemseffer Y, et al. Among authors: labrune e. Biomedicines. 2022 Sep 4;10(9):2184. doi: 10.3390/biomedicines10092184. Biomedicines. 2022. PMID: 36140285 Free PMC article. Review.
Case Report: Longitudinal follow-up and testicular sperm extraction in a patient with a pathogenic NR5A1 (SF-1) frameshift variant: p.(Phe70Serfs*5).
Teoli J, Mallet D, Renault L, Gay CL, Labrune E, Bretones P, Giscard D'Estaing S, Cuzin B, Dijoud F, Roucher-Boulez F, Plotton I. Teoli J, et al. Among authors: labrune e. Front Endocrinol (Lausanne). 2023 Jun 20;14:1171822. doi: 10.3389/fendo.2023.1171822. eCollection 2023. Front Endocrinol (Lausanne). 2023. PMID: 37409232 Free PMC article.
An interpretable and versatile machine learning approach for oocyte phenotyping.
Letort G, Eichmuller A, Da Silva C, Nikalayevich E, Crozet F, Salle J, Minc N, Labrune E, Wolf JP, Terret ME, Verlhac MH. Letort G, et al. Among authors: labrune e. J Cell Sci. 2022 Jul 1;135(13):jcs260281. doi: 10.1242/jcs.260281. Epub 2022 Jul 13. J Cell Sci. 2022. PMID: 35660922 Free PMC article.
16 results